Lead Data Scientist - Customer Development
Quick Summary
Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
The Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.
About the Role
~1 min readAs a Lead Data Scientist to define the technical future of our flagship Frontier product, you will lead project teams in designing and building bespoke computational twins—AI-powered digital twins—that transform client decision-making. This role demands ownership of the technical data science vision, direct client partnership, and mentoring the next generation of data science talent. This is a pivotal opportunity to drive innovative, high-impact AI deployments.
Responsibilities
~1 min read- →
Responsibilities
~1 min read- →
Nice to Have
~1 min readTalent Screen (30 mins)
Technical Interview (90 mins)
Commercial and Leadership interview (60 mins)
Principles Interview (60 mins)
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- February 11, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 16%
- Scored at
- May 6, 2026
Signal breakdown
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